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American Journal of Innovative Research & Applied Sciences
| ISSN: 2429-5396 (e) | www.american-jiras.com | |
| Web Site Form: v 0.1.05 | JF 22 Cours, Wellington le Clairval, Lillebonne | France |
| Web Site Form: v 0.1.05 | JF 22 Cours, Wellington le Clairval, Lillebonne | France |
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| | ARTICLES | Am. J. innov. res. appl. sci. Volume 7, Issue 5, Pages 315-319 (November 2018) |
| Research Article |
American Journal of innovative
Research & Applied Sciences
Research & Applied Sciences
ISSN 2429-5396 (Online)
OCLC Number: 920041286
OCLC Number: 920041286
| NOVEMBER VOLUME 7 | N° 5 | 2018 |
Authors Contact
*Correspondant author and authors Copyright © 2018: |Mounir Boumhamdi *1| and |Aziz Atmani 1|
*Correspondant author and authors Copyright © 2018: |Mounir Boumhamdi *1| and |Aziz Atmani 1|
Affiliation.
1 University Hassan II | Laboratoire d'actuariat, criminalité financière et migration internationale | B.P 8110 Oasis | Casablanca | Maroc |
1 University Hassan II | Laboratoire d'actuariat, criminalité financière et migration internationale | B.P 8110 Oasis | Casablanca | Maroc |
This article is made freely available as part of this journal's Open Access: ID | Mounir-ManuscriptRef.14-ajira101118 |
|
LINEAR MIXED EFFECT MODELS AND APPLICATION IN ECONOMY
| Mounir Boumhamdi *1 | and | Aziz Atmani 1 | . Am. J. innov. res. appl. sci. 2018; 7(5):315-319.
| PDF FULL TEXT | | XML FILE | | Received | 08 October 2018 | | Accepted | 19 November 2018 | | Published | 25 November 2018 |
| Mounir Boumhamdi *1 | and | Aziz Atmani 1 | . Am. J. innov. res. appl. sci. 2018; 7(5):315-319.
| PDF FULL TEXT | | XML FILE | | Received | 08 October 2018 | | Accepted | 19 November 2018 | | Published | 25 November 2018 |
Abstract
Background: North Africa has witnessed a political and economic evolution and very important strategic location. Objective: The aim of this work is the modeling and the simulation of gross domestic product (GDP), PPP (current international dollar) growth in North African countries from 1990 to 2017.Methods: Using mixed effects model theory. In our case, we will use linear mixed effects models for longitudinal data covering the last twenty seven years. Results: This model provides a good fit to describe the law of evolution of GDP (PPP based). Conclusion: The Linear Mixed Effects Models can help to characterize and to understand many complex linear economical processes.
Keywords: Linear mixed effects model, GDP (PPP based), North Africa, Longitudinal data.